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Fast Fluorescence Lifetime Imaging Basis on Compressive Sensing

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Abstract

We propose a fast fluorescence lifetime imaging method based on compression sensing (CS) sampling. The method employed Discrete Fourier Transform (DFT) combined with orthogonal function set of exponential basis (eBasis) as the sparse representation of the signal, and the random Bernoulli matrix as the measurement matrix. The sampling result was reconstructed by the Bassis Pursuit De-Noising (BPDN) l1 norm optimization algorithm. By using this method, the compressive sampling and recovery results of the fluorescent beads show that the imaging speed of the fluorescence lifetime is greatly improved while ensuring the accuracy of reconstruction.

© 2017 Optical Society of America

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